Different agents in a multiagent system might have different solution quality or preference criteria. Therefore, when solving problems collaboratively using CBR, case reuse must take this into account. In this paper we propose ABARC, a model for multiagent case reuse, which divides case reuse in two stages: individual reuse, where agents generate full solutions internally, and multiagent reuse,...

In this paper a multiagent Tourism Recommender System is presented. This system has a multiagent architecture and one of its main agents, the Travel Assistant Agent (T-Agent), is modelled as a graded BDI agent. The graded BDI agent model allows us to specify an agent architecture able to deal with the environment uncertainty and with graded mental attitudes. We focus on the implementational asp...

this paper illustrates the design and implementation of fain (filtering agent for internet) based on the gaia methodology and the auml notation. the proposed system generates and maintains a user profile by learning from examples that are judged and classified by the user during the training stage. a learning algorithm which is based on the baldwin effect that combines learning with evolution i...

This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

In this paper, a formal model for antivirus update agent system is presented based on mobile agent technology and predicate/transition Petri nets. The mobile agent system contains two mobile agents called DCA and UNA. It sends out agents to update antivirus on client computers in a network. Each agent takes on a specified responsibility. First, DCA roams through the network and check the last d...

In this paper, a formal model for antivirus update agent system is presented based on mobile agent technology and predicate/transition Petri nets. The mobile agent system contains two mobile agents called DCA and UNA. It sends out agents to update antivirus on client computers in a network. Each agent takes on a specified responsibility. First, DCA roams through the network and check the last d...

Agent-based computational economics (ACE) has received increased attention and importance over recent years. Some researchers have attempted to develop an agent-based model of the stock market to investigate the behavior of investors and provide decision support for innovation of trading mechanisms. However, challenges remain regarding the design and implementation of such a model, due to the c...